Forwarded from Chat GPT
🚨🧠Mind Reading Achieved: Facebook researchers present method for decoding speech from brain waves
“Our model predicts the correct segment, out of more than 1,000 possibilities, with a top-10 accuracy up to 70.7% on average across MEG subjects.”
“For more than half of samples, the true audio segment is ranked first or second in the decoders’
predictions. Interestingly, these performances can reach high top-1 accuracy in the best performing subjects: e.g. above 80% top-1 accuracy in the best participant of the dataset of Gwilliams et al.”
“For comparison, a model that predicts a uniform distribution over the vocabulary
(‘random model’) only achieves less than 1% top-10 accuracy on the same MEG datasets.”
Paper
“Our model predicts the correct segment, out of more than 1,000 possibilities, with a top-10 accuracy up to 70.7% on average across MEG subjects.”
“For more than half of samples, the true audio segment is ranked first or second in the decoders’
predictions. Interestingly, these performances can reach high top-1 accuracy in the best performing subjects: e.g. above 80% top-1 accuracy in the best participant of the dataset of Gwilliams et al.”
“For comparison, a model that predicts a uniform distribution over the vocabulary
(‘random model’) only achieves less than 1% top-10 accuracy on the same MEG datasets.”
Paper